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Embedded Ai Engineer Jobs in Riverside, CA (NOW HIRING)

Automation Engineer II

Diamond Bar, CA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... vendor-embedded AI systems * Exercise sound engineering judgment to identify risk, scope, or ... architectural decisions that require escalation * Oversee the commissioning and validation of new ...

Sr. Embedded Software Engineer, Lighting

Irvine, CA · On-site

$140 - $190/hr

  • Medical

  • Retirement

By combining our expertise across connectivity, AI, security and more, we'll map a new way forward ... Role Summary We are seeking a dedicated and innovative Sr. Embedded Software Engineer to join our ...

Sr Engineer, AI/Machine Learning

Irvine, CA · On-site

$140 - $170/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Job Summary The Sr Engineer, AI & ML will be part of the R&D team at Masimo with focus on design ... Implement physiological parameter measurement algorithms on embedded systems * Deliver high quality ...

Sr Engineer, AI/Machine Learning

Irvine, CA · On-site

$140K - $170K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Sr Engineer, AI & ML will be part of the R&D team at Masimo with focus on design and creation ... Implement physiological parameter measurement algorithms on embedded systems * Deliver high quality ...

Sr Engineer, AI/Machine Learning

Irvine, CA · On-site

$140K - $170K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Sr Engineer, AI & ML will be part of the R&D team at Masimo with focus on design and creation ... Implement physiological parameter measurement algorithms on embedded systems * Deliver high quality ...

Sr Engineer, AI/Machine Learning

Irvine, CA · On-site

$140K - $170K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Sr Engineer, AI & ML will be part of the R&D team at Masimo with focus on design and creation ... Implement physiological parameter measurement algorithms on embedded systems * Deliver high quality ...

Embedded Firmware Engineer - The Toro Company

Riverside, CA

$107K - $147K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

... Embedded Engineer provides expertise within the department of Technical Operations for the ... Data science and/or Generative AI * AC/DC power conversion * Knowledge of encryptions and security ...

Showing results 21-40

Embedded Ai Engineer information

See Riverside, CA salary details

$73K

$160K

$181.5K

How much do embedded ai engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for embedded ai engineer in Riverside, CA is $160,020.00, according to ZipRecruiter salary data. Most workers in this role earn between $137,200.00 and $180,500.00 per year, depending on experience, location, and employer.

What is an embedded AI engineer?

An Embedded AI Engineer is a professional who designs, develops, and implements artificial intelligence (AI) algorithms and models directly onto embedded systems, such as microcontrollers or edge devices. Their work involves optimizing AI solutions to run efficiently on hardware with limited computing resources, power, and memory. They collaborate with hardware engineers and software developers to integrate machine learning, computer vision, or other AI functionalities into products like smart appliances, autonomous vehicles, or IoT devices. Their expertise helps bring intelligent features directly to devices, enabling real-time decision-making without needing constant cloud connectivity.

What are the key skills and qualifications needed to thrive as an embedded AI engineer?

To thrive as an Embedded AI Engineer, you need expertise in embedded systems, AI/ML algorithms, programming languages like C/C++ and Python, and typically a degree in computer engineering or a related field. Familiarity with development tools such as TensorFlow Lite, ONNX, embedded Linux, and microcontroller platforms is essential, along with experience deploying AI models on resource-constrained devices. Strong problem-solving, collaboration, and communication skills help you work effectively in multidisciplinary teams and address real-world challenges. These skills ensure efficient integration of AI into embedded systems, enabling innovative, high-performance solutions for edge computing.

How does an embedded AI engineer typically collaborate with hardware and software teams during a project?

Embedded AI Engineers work closely with both hardware and software teams to ensure AI models are efficiently integrated into resource-constrained devices. They often collaborate with hardware engineers to optimize model performance based on device limitations like memory and processing power. At the same time, they coordinate with software developers to design efficient firmware and manage data pipelines. Regular cross-functional meetings and code reviews are common to address integration challenges and maintain alignment throughout the project lifecycle.

What is the difference between Embedded Ai Engineer vs Machine Learning Engineer?

CriteriaEmbedded Ai EngineerMachine Learning Engineer
Required CredentialsBachelor's in Electrical Engineering, Computer Science, or related; knowledge of embedded systemsBachelor's or Master's in Computer Science, Data Science, or related; strong programming skills
Work EnvironmentEmbedded systems, IoT devices, hardware integrationData centers, cloud platforms, software development environments
Employer & Industry UsageConsumer electronics, automotive, IoT companiesTech firms, startups, research institutions
Common Search & ComparisonYesNo

Embedded Ai Engineers focus on integrating AI algorithms into embedded hardware and IoT devices, requiring knowledge of hardware constraints and embedded programming. Machine Learning Engineers develop models primarily for software applications and data analysis. While both roles involve AI, Embedded Ai Engineers specialize in hardware-software integration within embedded systems, whereas Machine Learning Engineers work on developing and deploying AI models in software environments.

What are popular job titles related to Embedded Ai Engineer jobs in Riverside, CA?

For Embedded Ai Engineer jobs in Riverside, CA, the most frequently searched job titles are:

What job categories do people searching Embedded Ai Engineer jobs in Riverside, CA look for?

The top searched job categories for Embedded Ai Engineer jobs in Riverside, CA are:

What cities near Riverside, CA are hiring for Embedded Ai Engineer jobs?

Cities near Riverside, CA with the most Embedded Ai Engineer job openings:

Infographic showing various Embedded Ai Engineer job openings in Riverside, CA as of June 2026, with employment types broken down into 75% Full Time, 9% Part Time, 1% Temporary, and 15% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $160,020 per year, or $76.9 per hour.

Senior Embedded Platform Engineer

LMK Recruiting Solutions

Irvine, CA

$133K - $174K/yr

Full-time

Re-posted 7 days ago


Job description

Aerospace is at a turning point — costs are rising, supply chains are strained, and old ways of building can't keep up. At Neon Aero, we're breaking that mold. We move fast, think big, and combine start-up agility with aerospace expertise to design, build, and scale aircraft in ways the industry has never seen. Our team leverages automation, AI-driven tools, and a fully connected digital backbone to accelerate innovation and reduce barriers to production.

Here, you won't just take a job — you'll help reinvent how the world flies. If you're ready to solve complex problems, push technology further, and work alongside some of the brightest minds in aerospace, this is your chance to make a real impact.

We're seeking a Senior Platform/Real-Time Embedded Firmware Engineer with strong low-level embedded software expertise and a passion for building robust, deterministic firmware for safety-critical control systems. This role focuses on the real-time firmware foundation that enables actuators, motor drives, BMS, sensors, and vehicle-level systems to operate reliably.

You will architect, implement, and maintain firmware across real-time microcontroller platforms, owning BSPs, drivers, RTOS/bare-metal execution, timing, peripheral interfaces, diagnostics hooks, and hardware bring-up. This role works closely with embedded systems, motor control, BMS, and vehicle control software engineers to ensure the platform layer is reliable, reusable, and deterministic.

Key ResponsibilitiesReal-Time Firmware Architecture
  • Design and maintain real-time firmware architecture for safety-critical embedded control platforms.
  • Own timing-sensitive firmware layers, interrupt structure, task scheduling, execution order, and deterministic data flow between hardware, drivers, middleware, and application software.
  • Develop firmware frameworks that support reusable control execution, communication, diagnostics, monitoring, and system integration across multiple projects.
MCU, BSP & Driver Development
  • Develop and maintain embedded software in C/C++ on real-time microcontroller platforms such as TI C2000, NXP, or comparable safety-oriented MCUs.
  • Own board support packages, peripheral initialization, device configuration, and low-level hardware abstraction layers.
  • Develop and debug drivers for peripherals and interfaces such as CAN, SPI, Ethernet, ADC, PWM, GPIO, timers, watchdogs, and other MCU peripherals.
Hardware Interfaces & Bring-Up
  • Support hardware bring-up, board validation, and low-level debugging across software and hardware boundaries.
  • Diagnose issues involving MCU configuration, clocks, interrupts, peripherals, sensors, motor drive interfaces, BMS interfaces, and communication links.
  • Work closely with electrical, controls, and systems teams to ensure the embedded firmware correctly supports actuator control, power electronics, sensors, and vehicle-level hardware.
Communication & Diagnostics Infrastructure
  • Implement robust embedded communication infrastructure for protocols such as CAN, CAN derivatives, SPI, Ethernet, ARINC 825, and other aerospace or automotive buses.
  • Support reliable data exchange, message timing, arbitration, diagnostics, fault detection, and recovery behavior at the firmware/platform level.
Integration, Test & Tooling
  • Support integration with motor control, BMS, sensors, and vehicle control software.
  • Develop test hooks, debug interfaces, logging mechanisms, automation support, and data collection tools for lab validation, HIL testing, and system debugging.
  • Support SIL/HIL environments where firmware interfaces, drivers, and platform behavior need to be validated.
Safety, Process & Lifecycle Support
  • Support safety-critical embedded software development by following disciplined software development processes.
  • Contribute to requirements, traceability, verification planning, configuration control, and certification readiness activities aligned with standards such as DO-178C, ARP4754/4761, ISO 26262 concepts, or equivalent safety frameworks.
Required Qualifications
  • 5+ years of experience developing embedded firmware for complex real-time systems
  • Strong proficiency in embedded C/C++ and real-time firmware architecture
  • Experience with real-time microcontroller platforms such as TI C2000, NXP, or comparable safety-oriented MCUs
  • Strong understanding of MCU peripherals, interrupts, timers, watchdogs, memory, clocks, ADC, PWM, GPIO, and communication interfaces
  • Hands-on experience with communication protocols such as CAN, CAN derivatives, SPI, Ethernet, or ARINC 825
  • Proven ability to integrate and debug software across hardware, firmware, and system boundaries
  • Experience supporting hardware bring-up, lab validation, and HIL testing
  • Strong analytical skills and low-level debugging ability

Preferred / Bonus Experience

  • Experience with TI C2000, NXP, or similar real-time control microcontrollers
  • Prior work on safety-critical or regulated systems: aerospace, automotive, industrial
  • Exposure to certification-oriented development processes: DO-178C, ARP4754/4761, ISO 26262 concepts
  • Experience developing reusable BSPs, drivers, middleware, and embedded software frameworks
  • Background supporting motor drives, BMS, power electronics, sensors, or vehicle control systems
  • Experience supporting production launch, field issues, and long-term platform maintainability
Why This Role Matters

This role provides the real-time firmware foundation that every higher-level control function depends on. Your work ensures that MCUs, peripherals, drivers, communication links, timing, diagnostics, and hardware interfaces behave predictably under all conditions.

This is the expected compensation range for this role. Final compensation will be based on role scope, experience, skills, internal equity and location. This role may also be eligible for bonus/equity/benefits, if applicable.

$150,000 - $250,000 USD

Neon Aero, Inc is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, disability, veteran status, or any other protected status under applicable law.

We believe that diverse perspectives drive innovation, and we welcome candidates from all backgrounds to apply.

All final candidates must successfully complete a background check and drug screening as a condition of employment.